[Fripplebubby]

The biggest thing I noticed comparing the two was that OpenAI's method really approached (and appears to have effectively mitigated) the dead latents problem with a clever weight initialization and an "auxiliary loss" which (I think) explicitly penalizes dead latents. The TopK activation function is the other main difference I spot between the two.

Now, on the flip side, the Anthropic effort goes much further than the OpenAI one in terms of actually doing something interesting with the outputs of all this. Feature steering and the feature UMAP are both extremely cool, and to my knowledge the OpenAI team stopped short of efforts like that in their paper.